Abstract A lot of potable water of Iran is supplied by Glaciers, so investigation and protection of these resources seems necessary. This investigation includes estimation of some parameters like maximum and minimum altitude, area and perimeter, position of snow line and etc. Direct studying of these resources needs a lot of time and money. Using remote sensing technology seems to be useful which uses different algorithms to detect glaciers and their diverse parameters. To aim this goal images must take at the end of melting seasons. Also using accurate DEM of interest region is mandatory. By using both DEM of interest region and satellite images, geometric parameters of glaciers will be extracted. Iran has 5 main glacier zones, the investigation on Iran glaciers using Remote Sensing technology has been started since 2002. The case study of this project is Zard-Kooh located in Zagros Mountain. By using unsupervised algorithms, different parts of glaciers are classified, but shadows are classified to glacier. Feature space was used to recognize diverse part of glacier, such as ice, frozen snow for last years and frost snow. Ultimately by using DEM and fused images and using classification methods and vision interpretation, the boundary of glacier was extracted and the old map was updated. The results were transferred into ESRI’s shapefile format and imported to GIS. So users can implement their analysis to these data. Using GIS to manage these sets of data can help decision makers, to handle these data sets appropriately.